Short-term load forecasting using radial basis function (RBF) neural networks based on GN-BFGS algorithm

Dianli Xitong Zidonghua/Automation of Electric Power Systems

Volumn 27, Issue 4, 2003, Pages 33-36

  Zhao, Dengfu ^a   Zhang, Tao ^a   Yang, Zenghui ^a   Gu, Qingli ^a   Xia, Daozhi ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

GN BFGS algorithm; RBF neural network; Short term load forecasting

Indexed keywords

LEARNING ALGORITHMS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

RADIAL BASIS FUNCTION NEURAL NETWORK; SHORT TERM LOAD FORECASTING;

ELECTRIC LOAD FORECASTING;

EID: 0038585169     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (4)

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2. Flecher R. Practical Method of Optimization. 2nd ed. Chichester: John Wiley and Sons, 1987.
3. Ranaweera D K, Hubbele N F, Papalexopoulos A D. Application of Radial Basis Function Neural Network Model for Short-term Load Forecasting. IEE Proceedings - Generation, Transmission and Distribution, 1995, 142 (1): 45-50
4. Zhang Tao, Zhao Dengfu, Zhou Lin, et al. Short-term Load Forecasting Using Radial Basis Function Networks and Expert System. Journal of Xi'an Jiaotong University, 2001, 35 (4): 331-334